Wireless sensor

ABSTRACT

Systems and methods for wirelessly detecting area changes are provided. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.

CROSS-REFERENCE TO RELATED APPLICATIONS

This nonprovisional U.S. patent application is a continuation of and claims the priority benefit of U.S. patent application Ser. No. 12/940,902, filed Nov. 5, 2010, entitled “Wireless Sensor,” now U.S. Pat. No. 8,854,208, which claims the priority benefit of U.S. provisional patent application No. 61/258,845, filed Nov. 6, 2009, and U.S. provisional patent application No. 61/258,841, also filed Nov. 6, 2009, the disclosures of which are incorporated by reference herein, including all references cited therein.

This nonprovisional U.S. patent application is also related to U.S. patent application Ser. No. 12/156,621, filed Jun. 2, 2008, now U.S. Pat. No. 8,364,325, U.S. patent application Ser. No. 12/380,727, filed Mar. 2, 2009, now U.S. Pat. No. 7,839,017, U.S. patent application Ser. No. 12/613,970, filed Nov. 6, 2009, and U.S. patent application Ser. No. 12/912,717, filed Oct. 26, 2010, now U.S. Pat. No. 8,275,471, the disclosures of which are also incorporated herein by reference, including all references cited therein.

BACKGROUND OF THE INVENTION

Field of the Invention

The present invention generally involves sensors. More specifically, the present invention relates to wireless detection of area changes.

Description of Related Art

In recent years, a growing concern over environmental responsibility and viability has prompted various measures to reduce energy consumption and ensuing costs. In commercial and residential settings, one solution is the use of a sensor for detecting certain environmental conditions and initiating a adjustment of an electrical load device (i.e., electricity-consuming device) in response to the detected condition(s). For example, some building installations (e.g., offices) have installed occupancy sensors to detect motion in a given location. An occupancy sensor wired to a lighting fixture, for example, may detect movement or lack of movement in a particular room and cause the lighting fixture to turn on or off in response. Such sensor may initiate such response by communicating with an actuator or switch of the electrical load device.

Issues with such a scheme may include inflexibility and difficulty and expense associated with retrofitting for changing and/or growing installations. For example, a sensor may have to be rewired when electrical load devices are added, removed, or relocated and when user preferences change. Such situations may require rewiring and reconfiguration of sensor settings to reflect the new arrangement and requirements thereof.

Presently available sensors generally operate by transmitting a signal over a wired connection to an actuator (e.g., relay, power pack), which provides for control of an electrical load. Such presently available sensors are not configured for wireless communication. As such, those sensors are limited to certain types of signals, such as those indicating detection of motion, or lack thereof.

Another challenge for such sensors in a conventional lighting control system is that such sensors are usually mounted at an elevated position (e.g., ceiling, wall). As such, the sensor may be remote from various parts of a location. For example, in an office, it may be desirable to determine the light level around a work surface (i.e., desk). Because the sensor is mounted in an elevated position, the sensor may end up measuring reflected light from both the target surface, as well as from the surrounding environment. As such, the sensor reading is inaccurate, thereby possibly resulting in inappropriate responses.

Other issues may include inflexibility to changing requirements of the occupants. For example, an occupant may require different lighting response on weekdays than he/she does on weekends. Sensors that are not sensitive enough may not detect fine movements (e.g., typing at a desk), and sensors that are over-sensitive may detect movement outside a door or window, resulting in responses that inappropriate to the actual situation in an area.

There is therefore a need in the art for improved methods and systems for wireless sensing.

SUMMARY OF THE INVENTION

Embodiments of the present invention include systems and methods for wirelessly detecting area changes. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.

Various embodiments may include methods for wirelessly detecting area changes. Such methods may include storing a plurality of predetermined thresholds associated with time of day, calendar day, and/or activity. Methods may further include detecting a change in an area targeted by the wireless sensor, determining an applicable predetermined threshold, determining that the detected change meets the applicable predetermined threshold, wirelessly transmitting information indicating that the detected change meets the predetermined threshold to an associated controller concerning the change in overall light. The associated controller may then control operation of an electrical load based on the transmitted information. The detected change may occur with respect to light (e.g., red-green-blue light) and/or occupancy.

Some embodiments include an apparatus for wirelessly detecting area changes. Such apparatuses may include a memory for storing one or more predetermined thresholds associated with time of day, calendar day, and/or activity, a sensor cell for detecting a change in a targeted area, and a processor for determining an applicable threshold and determining that the detected change meets the applicable threshold. Such apparatuses may further include a wireless interface for wirelessly transmitting information to an associated controller concerning the change in overall light. The associated controller may then control operation of an electrical load based on the transmitted information. The sensor cell may be either a sensor cell for detecting light (e.g., red-green-blue light) and/or a sensor cell for detecting occupancy (e.g., passive infrared).

Further embodiments may include non-transitory computer-readable storage media having embodied instructions executable by a processor for performing methods for wirelessly detecting area changes.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 illustrates an exemplary network environment in which a system for wirelessly detecting area changes may be implemented.

FIG. 2 is a flowchart illustrating an exemplary method for wirelessly detecting area changes.

DETAILED DESCRIPTION

Embodiments of the present invention provide for wirelessly detecting area changes. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.

FIG. 1 illustrates an exemplary network environment 100 in which a system for wirelessly detecting area changes may be implemented. Communicating via a wireless communication network 110, devices in the network environment 100 include wireless sensor 120, computing device 130, and wireless controllers 140A-140B controlling lights 150.

Wireless communication network 110 may be inclusive of any local, proprietary network (e.g., an intranet), as well as any larger wide-area network. The wireless communication network 110 may include a local area network (LAN), for example, which may be communicatively coupled to a wide area network (WAN) such as the Internet. The Internet is a broad network of interconnected computers and servers allowing for the transmission and exchange of Internet Protocol (IP) data between users connected through a network service provider. Examples of network service providers are the public switched telephone network, a cable service provider, a provider of digital subscriber line (DSL) services, or a satellite service provider. In some embodiments, the wireless communication network 110 may be configured to transmit various electromagnetic waves, including, for example, radio signals. Examples of the wireless communication network 110 may include IEEE 802.11 (Wi-Fi or Wireless LAN) networks, IEEE 802.16 (WiMAX) networks, IEEE 802.16c networks, and the like. Wireless communication network 110 allows for communication between the various components of network environment 100. In some instances, wireless communication network 110 may be a multi-hop network.

One of the devices in network environment 100 is a wireless sensor 120 including one or more sensor cells. A wireless sensor may include various types of sensor cells for detecting various conditions, including occupancy (e.g., motion), photosensors, RGB sensors, passive infrared (PIR) sensors, or any combination of the foregoing. PIR sensors may be used, in some installations, to provide more detailed information concerning a targeted area. For example, in formation from a PIR may be used to establish a base line with respect to an empty room and an individual. In some instances, such information may be used to determine when there are multiple people present in a room and generate an estimate as to how many people. Such information may also allow for targeted control of other types of facilities systems besides lighting (e.g., HVAC systems).

The inclusion of multiple sensors may also serve reduce power usage, based on intelligent determination as to when to activate each sensor. For example, not all the sensors have to be active at all times. Activation of a photosensor or RGB sensor, for example, may be activated upon detection of motion in a targeted area. Alternatively, a motion sensor may be activated only when it is dark. As such, the energy to power every sensor may not be continuously required. Such energy may be provided by a DC connection, battery, photovoltaic cell, or any combination.

The wireless sensor 120 may therefore be able to accurately measure light in a given targeted area (e.g., a desk or work surface, a room). In particular, such a wireless sensor 120 can independently detect and measure the red, green and blue (RGB) spectrums of light. Further, each wireless sensor 120 can then characterize common patterns of the three spectra to eliminate errors in calculating lighting levels in a given area. For example, a work surface may include different amounts of white paper, which may reflect light differently than the work surface does. As such, a sensor may be prone to error based on the variance in reflected light if no consideration is given to such factors.

Wireless sensor 120 can resolve such issues by storing information in memory regarding light signatures associated with various contexts (e.g., time of day). If there is a detected change in light levels, the wireless sensor 120 may first verify whether the detected change is actually a change in illuminance in the targeted area rather than a change due to, for example, more reflective white paper in the targeted area. In addition, the wireless sensor 120 may also consider whether the detected change in illuminance merits a response by comparing the change to predetermined thresholds. For example, a small change in illuminance may not necessarily require that an additional lamp/light be switched on or off. As such, there may be thresholds set by default, an administrator, or user, regarding what type of lighting change should result in a response. As such, in addition to its sensor cells, wireless sensor 120 may further include a memory and processor to store and make such determinations.

In various embodiments, a wireless sensor 120 can address and account for changes in reflectance vis-à-vis changes in amount of light. If the reflectance in the environment changes, then the light level sensor readings might increase even if the actual illuminance on the work surface does not. A common example may be observed when white papers are spread out on a brown conference table. For open-loop sensors, a similar situation may arise as a result of changes in ground reflectance (e.g., seasonal changes from green grass to brown grass to snow) or reflectances from unintended objects (e.g., windows, metallic window frames, automobiles). In wireless sensor 120, such changes in reflectance can be detected and identified based on measured changes in RGB light. As such, an exemplary wireless sensor 120 can recognize a signature of a color shift as a different condition than a change in work surface illuminance.

An exemplary wireless sensor 120 can also be configured to quantify the amount of artificial light vis-à-vis natural light (i.e., sunlight). Presently available sensors have difficulty accounting for two very different sources of light: natural light and artificial light. The amount of light reaching a sensor intended to measure illuminance at a given work surface may be different based on varying amounts of natural and artificial light. In the case of artificial lighting, error may be introduced based on reflectance from the work surface. With natural light, reflectance may be introduced from surfaces other than the work surface, including from lights interior and exterior to the area (e.g., light from a hallway or window). The light detected by a sensor at the targeted area will not be the same for equivalent amounts of natural light and artificial light. In other words, x lux of natural light is not equivalent to x lux of electric light.

An exemplary wireless sensor 120 addresses the problem by measuring RGB light to identify a color signature for natural light in the targeted area. The color signature may be determined based on several factors specific to the targeted area, including for example, spectral transmission of the glass windows in the area. Using such information, a wireless sensor 120 can calculate a percent of light provided by artificial light sources and a percent of light provided by natural light, as well as further calculate and quantify the contribution of natural and artificial light to illuminance of the targeted area.

In some embodiments, a wireless sensor 120 may perform an automated routine to identify a natural light signature when artificial lights are turned off. Under certain conditions, direct beam sunlight may enter into a targeted area (e.g., through a window). Direct beam sunlight may have a different spatial distribution than natural light under other conditions. To avoid overestimating the contribution of natural light to illuminance, a wireless sensor 120 may specifically characterize the signature of direct beam sunlight, as well as a signature of natural light under different conditions.

Being able to accurately determine illuminance allows for more customized control and concurrent reduction in power usage associated with artificial lights. For example, when the illuminance provided by natural light is sufficient, the artificial lights may be deactivated and only activated when natural light is no longer sufficient. Further, reduction in power usage related to artificial lights may be accomplished either by switching off or dimming.

Another type of condition that may be detected by wireless sensor 120 is occupancy of the targeted area. Such a sensor cell (e.g., passive infrared (PIR)) may operate to detect motion by human occupants having a body temperature different than the ambient temperature in an unoccupied targeted area. For example, an unoccupied room may normally have ambient temperatures ranging between 55 and 65 degrees Fahrenheit during an average spring day. As such, the wireless sensor 120 may recognize or be programmed to recognize that as a signature of an unoccupied room. When an occupant passes in front of the wireless sensor, however, the wireless sensor 120 can detect the higher body temperature of the occupant (e.g., 98 degrees Fahrenheit). As such, the detected presence of such higher temperatures can indicate occupancy of the targeted area. Such wireless sensors 120 may also be prone to error, however, where the purported occupant is merely passing by a window or door rather than entering the targeted area proper (e.g., a room).

Such a wireless sensor 120 can work with sensors intended for both open-loop and closed-loop control algorithms. Open-loop sensors are usually not intended to see the controlled light. For example, an open-loop sensor may be mounted to monitor an outside area because electric light extends to the building perimeter. Typically, this can involve mounting on a ceiling such that the sensor monitors an area outside of a window. In contrast, a closed-loop sensor usually monitors a controlled lighting area.

Some embodiments allow for fine-tuning of the wireless sensor 120 based on various factors, including time of day, calendar day, and/or activity. Sensitivity of the wireless sensor 120 refers to a trigger level (e.g., amount of detected occupants/motion, light) with respect to triggering a response from the sensor (e.g., to turn a lamp on/off). Delay refers to a time delay with respect to sending the response, for example, to an actuator associated with a lamp. A wireless sensor 120 may be programmed to have different sensitivity or delays based on specific circumstances. For example, sensitivity level may be programmed to be higher, for example, so that a worker would be provided with light during working hours. Alternatively, sensitivity of the sensor may be adjusted to be lower on weekends and holidays when workers are less likely to be in an office, so that movement of wind-blown trees outside a window does not trigger lights to turn on.

After a predetermined condition is detected in a targeted area by a sensor included in an exemplary wireless sensor, information concerning the detected condition is sent wirelessly to a controller associated with an electrical load. The controller may then control operation of a device associated with the electrical load based on the information from the wireless sensor. In contrast to many previously available sensors (e.g., that sends only binary data), a wireless sensor 120 can transmit much more information via radio, as well as respond in much more targeted ways. A wireless sensor can adjust time delays and sensitivity based on various situations.

Further, a wireless sensor can adjust sensitivity based on a breakdown on a targeted area. For example, a wireless sensor 120 can be programmed to be less sensitive to an area by the door to avoid turning lights on in response to passers-by, as well as more sensitive around a workspace where movements (i.e., typing) may be smaller. Some embodiments further provided for masking of certain areas. Not only may sensitivity be deadened around a door area, a user may wish to totally mask the door, such that a sensor is “blind” to movements outside the door. For example, a wireless sensor 120 may include a quad element PIR. The quad element PIR works by providing data for two pairs of sensor cells, B and B′, and A and A′ while the dual element only compares one pair of elements. When paired with an appropriate Fresnel lens, sensing could occur on one half of the sphere or primarily on one half of the sphere. As such, the sensitivity of the particular sensor cells may be adjusted based on the portion of the targeted area to which it is directed (e.g., a door opening into a hallway).

Such configuration as to delay, sensitivity, and masking may take place at startup (e.g., commissioning) or remotely through computing device 130. Using computing device 130, an installer, building administrator or user may be able to adjust such configurations to the requirements of the targeted area. Computing device 130 may comprise any combination of computer hardware and software configured to receive and transmit information over wireless communication network 110, thereby communicating with wireless sensor 120 and controllers 140A-140B. Computing device 130 may be any type of desktop computer, laptop computer, handheld computer, server, etc. configured to communicate over wireless communication network 110. If wireless communication network 110 is a multi-hop network, computing device 130 may be able to broadcast a message to devices within a specified number of hops in the communication network 110.

The controller (e.g., 140A) may be embedded in a fixture, housed within a ballast, in a separate device, etc. As illustrated in FIG. 1, a controller 140 may be associated with one or more light fixtures. Described in further detail in co-pending U.S. patent application Ser. No. 12/156,621 which was incorporated herein by reference, the controller 140 can control the operation of the device or devices (i.e., lights) based on various types of signal information, including signal information sent over the wireless communication network 110 from wireless sensor 120 and/or computing device 130. The controller 140 may be associated with one or more fixtures of a facilities system. In the embodiment illustrated in FIG. 1, such fixtures are lights 150. For example, the controller 140A is associated with three lights 150, while controller 140B is associated with one light 150. While the description refers to lights 150, controller 140 may control operation of any kind of electric fixture or appliance.

Where there are multiple controllers 140 controlling different sets of fixtures in a targeted area, the information sent by wireless sensor 120 to each controller may be different. For example, wireless sensor 120 may have a higher sensitivity (e.g., a lower threshold) associated with the portion of the targeted area where the lights 150 controlled by controller 140A are located. In response to a detected change that triggers that threshold (but does not trigger any other thresholds associated with other portions of the targeted area), the lights 150 controlled by controller 140A may be switched on while the lights 150 controlled by controller 140B are not.

FIG. 2 is a flowchart illustrating an exemplary method 200 for wirelessly detecting area changes. In the method 200, a plurality of thresholds are stored in memory, a change is detected in the targeted area, an applicable threshold is determined, and it is determined that the detected change meets the applicable threshold. Information indicating that the detected change meets the applicable threshold is wirelessly transmitted to an associated controller, which controls an electric load based on the transmitted information.

In step 210, various thresholds are stored in memory. Each threshold may relate to a type of condition detectable by wireless sensor 120, as well as at least one factor indicating when the threshold applies. Such factors may include, for example, time of day, calendar day (e.g., weekday or weekend, holiday), or activity. For example, one threshold may indicate that on weekday afternoons, the threshold can be highly sensitive. As such, detecting a lack of natural light may allow for artificial lights to be switched on to compensate. In an office, for example, occupants are still likely to be working and in need of a certain level of light to perform their work. In contrast, on weekends, occupants are unlikely to be in the office. As such, the threshold may be lower so that non-occupant movement (e.g., wind-blown trees outside a window) does not result in wasteful activation of lighting. The thresholds may be set based on default settings or be created/customized based on the particular needs of the facility, building, business, occupant, etc.

In step 220, a change is detected in the targeted area. The variety of sensors that may be deployed, as well as the conditions that are detectable by the same, are described above. In some cases, the wireless sensor 120 may be programmed with a baseline, either upon commissioning or later based on updated circumstances (e.g., by remote computing device 130). Such a baseline may indicate the normal range of conditions in the targeted area. In comparison to such a baseline, some type of change (e.g., light, occupancy, motion) in the targeted area may be detected.

In step 230, an applicable threshold is determined. The factors associated with the stored thresholds may be evaluated to determine which threshold is appropriate to the situation in which the change was detected. For example, a change in RGB light may have been detected on a weekday morning. As such, it is determined which of the stored thresholds are applicable to RGB light changes on weekday mornings.

In step 240, it is determined whether the detected change meets the applicable threshold. It would be inefficient to activate or deactivate fixtures (e.g., lights 150) in response to small changes. A minor decrease in natural light due to a passing cloud, for example, should not affect an office occupant's ability to work. As such, the detected change must be significant enough to merit a response in terms of activating or deactivating electric fixtures. In some circumstances, multiple thresholds may apply. For example, an occupancy sensor may detect a high probability that occupants have entered the targeted area. Meeting the occupancy threshold may further trigger light sensors to activate and determine whether the light level meets a light threshold.

In step 250, information regarding the determination is wirelessly transmitted to an associated controller 140. Specifically, such information may indicate that the detected change meets a certain applicable threshold. In response to such information, the controller 140 (e.g., associated with the portion of the targeted area for which the detected change is relevant) may control the operation of one or more lights 150. For example, where the information indicates a significant decrease of light in particular quadrant of a room, the wireless sensor 120 may send such information to a controller 140 controlling lights 150 located in that quadrant.

In step 260, an electric load is controlled based on the wirelessly transmitted information. Referring to the example above, the controller 140 in the particular quadrant may receive such information from the wireless sensor 120. In response, such controller 140 may then switch on lights 150 or increase the brightness of such lights 150 if they were previously dimmed.

In some embodiments, it may be possible to view and generate reports concerning recent commands transmitted from the wireless sensor 120, configuration information, operation information, and times and dates of certain events. Such events may include triggering events (e.g., start and finish) within a period of time, sensor heartbeat messages, percentage of remaining battery life, and ambient temperature at intervals. Dates and times may be correlated with the sensor events. It may also be useful to view reported temperatures to evaluate and adjust settings in response to situations where the wireless sensor 120 did not detect changes (e.g., entering occupants) due to extreme temperatures (e.g., too high or too low) in the targeted area.

The terms “computer-readable storage medium” and “computer-readable storage media” as used herein refer to a medium or media that participates in providing instructions to a CPU for execution. Such media may take many forms including, but not limited to, non-volatile and volatile media. Non-volatile media include, for example, optical or magnetic disks, such as a fixed disk. Volatile media include dynamic memory, such as system RAM. Common forms of computer-readable storage media include, for example, a floppy disk, a flexible disk, a hard disk, magnetic tape, any other magnetic medium, a CD-ROM disk, digital video disk (DVD), any other optical medium, punch cards, paper tape, any other physical medium with patterns of marks or holes, a RAM, a PROM, an EPROM, a FLASHEPROM, any other memory chip or cartridge.

While the present invention has been described in connection with a series of preferred embodiments, these descriptions are not intended to limit the scope of the invention to the particular forms set forth herein. The above description is illustrative and not restrictive. Many variations of the invention will become apparent to those of skill in the art upon review of this disclosure. The scope of the invention should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the appended claims along with their full scope of equivalents. The present descriptions are intended to cover such alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims and otherwise appreciated by one of ordinary skill in the art. 

What is claimed is:
 1. A system, comprising: a plurality of red, green, and blue (RGB) sensors that each measure light spectrum information in a target area; and a controller configured to: evaluate light spectrum information in the target area when artificial light is output by one or more artificial lights in the target area; determine a total light measurement in the target area when the artificial light is output by the one or more artificial lights in the target area; correlate the light spectrum information in the target area with light output information of the one or more artificial lights in the target area; calculate a portion of the total light measurement that is natural light and a portion of the total light measurement that is artificial light output by one or more artificial lights based on the correlation of the light spectrum information in the target area with the light output information of the one or more artificial lights in the target area; and wherein calculating the portion of the total light measurement further comprises: deactivating the one or more artificial lights; specifically identifying direct beam sunlight in the target area using spatial distribution; using the light spectrum information received by the plurality of red, green, and blue (RGB) sensors, characterizing a color signature of the direct beam sunlight sensed by the plurality of RGB sensors, as well as a color signature of the natural light sensed in the target area under at least one different condition sensed by the plurality of RGB sensors; and selectively activating the one or more artificial lights based on the total light measurement and the light spectrum information sensed and characterized by the plurality of red, green, and blue (RGB) sensors, relative to an applicable threshold.
 2. The system according to claim 1, wherein the controller is further configured to express the portion of light in the target area that is artificial light output by one or more artificial lights as a percentage of the total light measured in the target area and expressing the portion of light in the target area that is natural light as a percentage of the total light measured in the target area.
 3. The system according to claim 1, wherein the controller is further configured to recognize a signature of a color shift in the target area as compared to a change in work surface luminance using the light spectrum information.
 4. The system according to claim 1, wherein the controller is further configured to identify the color signature for the natural light in the target area.
 5. The system according to claim 1, wherein the controller is further configured to determine a contribution of each of the natural light and the artificial light that is output by one or more artificial lights in the target area to the total light measurement.
 6. The system according to claim 1, wherein the controller is further configured to determine luminance within the target area caused by the direct beam sunlight.
 7. A method, comprising: receiving light spectrum information from a plurality of sensors comprising red green, and blue (RGB) sensors in a target area; evaluating the light spectrum information in the target area when artificial light is output by one or more artificial lights in the target area; determining a total light measurement in the target area when artificial light is output by one or more artificial lights in the target area; correlating the light spectrum information in the target area with light output information of the one or more artificial lights in the target area; calculating a portion of the total light measurement that is natural light and a portion the total light measurement that is artificial light output by one or more artificial lights based on the correlation of the light spectrum information in the target area with the light output information of the one or more artificial lights in the target area; and wherein calculating the portion of the total light measurement further comprises: deactivating the one or more artificial lights; specifically identifying direct beam sunlight in the target area using spatial distribution; using the light spectrum information received by the red, green, and blue (RGB) sensors, characterizing a color signature of the direct beam sunlight sensed by the RGB sensors, as well as a color signature of the natural light in the target area under at least one different condition sensed by the RGB sensors; and selectively activating the one or more artificial lights based on the total light measurement and the light spectrum information sensed and characterized by the red, green, and blue (RGB) sensors, relative to an applicable threshold.
 8. The method according to claim 7, wherein the natural light is at least one of sunlight in the target area and light measured in the target area when the one or more artificial lights are turned off.
 9. The method according to claim 7, further comprising expressing the portion of light in the target area that is artificial light output by one or more artificial lights as a percentage of the total light measured in the target area and expressing the portion of light in the target area that is natural light as a percentage of the total light measured in the target area.
 10. The method according to claim 9, further comprising controlling the one or more artificial lights based on the calculated percentages.
 11. The method according to claim 7, further comprising recognizing a signature of a color shift in the target area as compared to a change in work surface luminance using the light spectrum information.
 12. The method according to claim 7, further comprising determining luminance within the target area caused by the direct beam sunlight. 